Lead Software & Data Engineer — AI-Driven Solutions

Newton; Jersey City (NJ); On-site; USD 157,000 - 215,000; Full time

Benefits offered by this job

Health care coverage

On-site wellness centers

Retirement savings plan

Job summary

JPMorganChase, a leading global financial services firm, seeks a Lead Software Engineer to join Corporate Technology. You will be a core technical contributor delivering trusted market-leading technology products in a secure, scalable way, while guiding AI-assisted engineering practices and robust automation across multi-functional teams.

The role emphasizes hands-on design, development, testing, and operational stability with a focus on secure coding, architecture evaluation, and collaboration

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Experience in building data pipelines using AWS/Databricks
• Advanced in Java/spring/SQL/Python/Spark
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Skills

Java

Spring

SQL

Python

Spark

CI/CD

Agile

Security

Cloud

Education

Formal software engineering training

Tools

AWS

Databricks

CI/CD工具

Job description

JPMorganChase, a leading global financial services firm, seeks a Lead Software Engineer to join Corporate Technology. You will be a core technical contributor delivering trusted market-leading technology products in a secure, scalable way, while guiding AI-assisted engineering practices and robust automation across multi-functional teams.

The role emphasizes hands-on design, development, testing, and operational stability with a focus on secure coding, architecture evaluation, and collaboration